Why AI Borrowing Moving to Plaid Could Break the Finance World—And How You Can Cash In Before Anyone Else Does
Just when you thought the biggest risk from AI was Skynet rebooting and wiping out humanity – an AI researcher practically dropped that bombshell last week. Yikes, right? But hey, if that apocalypse comes knocking, we won’t need to fret about interest rates or bond markets at all. Until then, buckle up, because the AI craze that’s taken over everything from your favorite apps to sprawling data centers is now shaking up the bond market like never before. Remember when tech giants built their AI empires mostly out of pocket? Those days are gone. Hyperscalers are borrowing billions, flooding the bond market, and making Uncle Sam sweat as government borrowing costs soar. It’s a classic crowding-out dilemma — AI’s not just changing technology, it’s rewriting the rules of finance. So, what happens when tech’s biggest dream comes tied to debt—and the bond market starts calling the shots? Let’s dive in and unpack why this AI firestorm might just be a balance-sheet headache waiting to happen. LEARN MORE
An AI researcher let it slip last week that the technology we’re all embracing could wipe out humanity in the next decade. Bright side: if that came to pass, it would render any concerns expressed in this blog post largely moot. If you wanted something else AI-related to worry about in the meantime, however, there’s always the bond market to consider.
For most of the past decade, the booksellers and metaverse builders dabbling in AI financed their hobby out of their own pockets. That era is over, as a Vanguard strategist told the New York Times. As these companies committed to AI (and assumed the industry label “hyperscalers”), it became harder to self-fund all the data centers and power contracts they needed. J.P. Morgan Asset Management expects hyperscalers’ operating cash flow and equity issuance to cover only about a quarter of their ongoing investment in AI. For the rest, they are hitting the bond market.
The volume of those bonds is getting hard to fathom. Vanguard counts roughly $35 billion in annual debt issuance by the five largest hyperscalers from 2020-2024. In 2025, the figure hit $93 billion. Through July 31 of 2026, issuance had reached $132 billion. Alphabet alone sold $25 billion in bonds in early August, at least the eighth hyperscaler offering of that size or greater in 2026. Investors are demanding a return for their risk. The 10-year piece of that August deal paid 85 basis points over Treasuries (up from a 63-basis-point difference on a comparable issue in February), weeks after Alphabet reported its first quarter of negative free cash flow since going public in 2004.
All that bond money must come from somewhere, and some of it is coming out of the Treasury market, creating headaches for the government. “The AI revolution is producing a classic crowding-out effect,” investment strategist Ed Yardeni wrote. With corporate paper paying more, the government must raise its yields to compete for buyers. That gets expensive. The deficit is running near $2 trillion this fiscal year, and every upward tick in bond yields costs the government more. The 30-year Treasury yield hit its highest level since 2007 in late August, and as of September 11, the 10-year sat at 4.97%.
The Treasury Department has tried to push back by buying its own bonds off the market—increasing demand for them, and, in theory, dragging down the yield as a result. But after tripling the size of the buyback program to a ceiling of $6 billion, yields rose anyway. It does not help that other forces are pushing in the same direction. Surging oil prices have also contributed to market expectations that the Federal Reserve could raise rates to address inflationary pressures.
Where does all this leave hyperscalers and their investors? Microsoft’s latest 10-K, filed July 29, is fairly frank in describing associated risks. The company says its AI investments are being made “in advance of fully developed revenue streams,” and that the revenue “may not be realized in the expected timeframes or at expected levels.” Its ability to keep spending depends on continued access to capital, and the filing warns that “adverse changes in interest rates, credit markets, investor sentiment, or our credit ratings” could raise its cost of capital or limit its ability to execute the strategy at all.
Microsoft’s disclosure points to the broader issue for companies making large AI investments. As more of the buildout shifts from internally generated cash to debt financing, AI exposure increasingly carries financing risk alongside the technology, operational and governance risks companies already disclose.
For issuers, the practical takeaway is that disclosures around AI investment may need to evolve with the way those investments are funded. Companies committing significant capital to AI infrastructure should consider whether investors have enough information to understand their reliance on external financing, sensitivity to interest rates and credit conditions, expected returns on AI spending, and the consequences if anticipated revenue takes longer to materialize. The AI buildout may still be a growth story, but for some companies it is becoming a balance-sheet story too.
Something to watch for . . . if AI doesn’t wipe out humanity first.
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